Description

You will design, develop, and optimize data solutions using Oracle and cloud platforms.

This role is on-site.

Responsibilities

• Design and optimize complex SQL and PL/SQL queries, stored procedures, and triggers in Oracle databases.
• Implement data warehousing solutions using Snowflake, Hive, and Python.
• Develop and maintain ETL processes to extract, transform, and load data from multiple sources.
• Optimize database performance and troubleshoot SQL and PL/SQL issues.
• Leverage cloud-based platforms to enhance data processing and analytics capabilities.

Required Skills

• 5+ years of experience in data engineering.
• Strong expertise in Oracle SQL and PL/SQL, including performance tuning.
• Hands-on experience with Snowflake, including data modeling and Snow SQL.
• Proficiency in Python for data processing and automation.
• Solid understanding of data warehousing concepts and ETL frameworks.
• Experience with Hive and big data technologies.
• Experience working with cloud-based data solutions such as AWS, Azure, or GCP.
• Any Graduate degree.

Preferred Skills

• Experience with data pipeline orchestration tools like Airflow or Apache NiFi.
• Knowledge of data governance and security best practices.

Key Skills

Education

Any Gradute